Fabricatio-Rl: A Reinforcement Learning Simulation Framework For Production Scheduling. - Alexandru Rinciog; Anne Meyer (WSC, 2021)

Towards Standardizing Reinforcement Learning Approaches for Stochastic Production Scheduling. - Alexandru Rinciog; Anne Meyer (CoRR, 2021)

SLAPStack: A Simulation Framework and a Large-Scale Benchmark Use Case for Autonomous Block Stacking Warehouses. - Jakob Pfrommer; Alexandru Rinciog; Sohaib Zahid; Michael Morrissey; Anne Meyer (ICCL, 2022)

Towards Adaptable Customer Segments and Reference Geometries. - Greta Tjaden; Anne Meyer; Alexandru Rinciog (APMS (1), 2022)

CROSSStacks: A Dataset and a Simulative Study of Storage Allocation Strategies for Cross-Docking Block-Stacking Warehouses. - Alexandru Rinciog; Jakob Pfrommer; Hardik Rathod; Anne Meyer; Natalia Ogorelysheva; Anna Vasileva (WSC, 2023)

Demystifying reinforcement learning approaches for production scheduling. - Alexandru Rinciog (2023)

MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept. - Michal Tkác; Jakub Sieber; Lara Kuhlmann; Matthias Brueggenolte; Alexandru Rinciog; Michael Henke 004; Artur M. Schweidtmann; Qinghe Gao; Maximilian F. Theisen; Radwa El Shawi (CoRR, 2024)

Reinforcement Learning for AMR Charging Decisions: The Impact of Reward and Action Space Design. - Janik Bischoff; Alexandru Rinciog; Anne Meyer (CoRR, 2025)